Enterprises are shifting big-data analytics projects to the cloud but compatibility, security, and performance concerns remain key blockers to adoption.
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Research
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Market landscape: in-memory database technologies
The landscape of data solutions has been significantly disrupted in the last several years, on multiple fronts. Another such disruption is…
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Intelligence-aware threat detection and mitigation
In the era of big data, organizations must employ a combination of security analytics, intelligence-aware security controls, and automated response to…
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How smart management of marketing tech can boost site ROI
Today’s marketing technology landscape is a highly complex labyrinth of platforms, applications, and APIs. To fully reap the benefits, though, IT…
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Big data and big agriculture
As the global population increases, weather volatility grows, and fuel prices surge, there will be more incentives to use data and…
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Big data and analytics third quarter 2014: analysis and outlook
The third quarter showed clear signs of Hadoop’s maturation and the industry’s maturity in working with it. Meanwhile, megavendors continued to…
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Big storage for big data
IT organizations considering open-source software for object storage must weigh the free technology against potential risks and total cost commitments.
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Sector Roadmap: machine learning and predictive analytics
A mixture of big data, improved algorithms, increasingly cheaper storage, and cloud-hosted options has fueled a surge in new data mining…
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Data privacy and security in the post-Snowden era
Strict E.U. regulations on data privacy have left Iceland as a key location for corporate cloud-hosting providers.
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Approachable analytics: data intelligence for everyone
On their own, visualization, data science and machine learning don't solve the challenge of data analysis for businesses. Users need a…
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Data ethics: transparency as sustainable competitive advantage
Individuals and organizations alike face immature, emerging legislation, constantly shifting and evolving cultural and social values about central issues such as…
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3 strategies for developing the data-driven store
Tracking customers through today's data-driven shopping journey provides retailers a fresh take on doing business and the chance to deliver the…
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How IT can blend massive connectivity with cognitive computing to enable insights
Predictive analytics methods are extremely useful when dealing with the likes of fraudulent activity, imminent hardware failures, or credit risk. But…
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Retail’s pivotal moment: how to deliver effective personalization
While online personalization has been around for a while, only now are things really lining up for implementing it in a…
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Beyond MapReduce: How the new Hadoop works
New features included in Hadoop’s latest releases go some way towards freeing an increasingly capable data platform from the constraints of…
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How to deliver a comprehensive big data analytics framework to communication service providers
After undergoing dramatic shifts in recent years, big data analytics are now helping CSPs keep up with the changes by creating…
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Moving Hadoop beyond MapReduce
Hadoop far more than the one-trick pony it was once characterized as, and with its new capabilities, businesses are using it…
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How advertisers can keep pace with the changing television landscape
Three core drivers are changing the television landscape and confusing advertisers: consolidation of big-media distribution, platform-driven viewing fragmentation, and the infiltration…
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Hadoop security: Solutions emerge
As Hadoop moves towards establishing itself as a key data management platform for the enterprise, there is a new set of…
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When and how to outsource big data managed services
The trick to leveraging managed big data services is determining which projects are good candidates for outsourcing and then finding a…
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Big data and analytics second-quarter 2014: analysis and outlook
In the second quarter of 2014, new de facto standards emerged and galvanized, major cloud providers launched new analytics offerings, and…
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Unifying petabyte-scale unstructured data to enhance enterprise data value
Implementing a contiguous, enterprise-wide data storage architecture can be used to break down the barriers and relieve applications of the burden…
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How to solve big data challenges in the ad-tech industry
Advertising technology involves a formidable set of requirements, and a new category of database known as NewSQL is emerging to address…
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Opportunities in health care from open data
Health care players are making open data as much a part of their business models as they are for slick marketing…
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